{"id":"https://openalex.org/W4409426153","doi":"https://doi.org/10.1109/tgrs.2025.3560391","title":"Spectral-Temporal\u2013Spatial Feature Optimization for <i>Dioscorea Polystachya</i> Turczaninow Classification Using Time Series Sentinel-2 Data","display_name":"Spectral-Temporal\u2013Spatial Feature Optimization for <i>Dioscorea Polystachya</i> Turczaninow Classification Using Time Series Sentinel-2 Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409426153","doi":"https://doi.org/10.1109/tgrs.2025.3560391"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3560391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3560391","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038402341","display_name":"Zhulin Chen","orcid":"https://orcid.org/0000-0002-1272-2532"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhulin Chen","raw_affiliation_strings":["Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1272-2532","affiliations":[{"raw_affiliation_string":"Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051857611","display_name":"Tingting Shi","orcid":"https://orcid.org/0000-0003-2073-5138"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Shi","raw_affiliation_strings":["State Key Laboratory Breeding Base of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China","National Resource Center for Chinese Materia Medical, State Key Laboratory Breeding Base of Dao-di Herbs, China Academy of Chinese Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory Breeding Base of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]},{"raw_affiliation_string":"National Resource Center for Chinese Materia Medical, State Key Laboratory Breeding Base of Dao-di Herbs, China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029107736","display_name":"Haiying Jiang","orcid":"https://orcid.org/0000-0001-8160-9480"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiying Jiang","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8160-9480","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101928611","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0002-7753-4735"},"institutions":[{"id":"https://openalex.org/I4210156332","display_name":"Chinese Research Academy of Environmental Sciences","ror":"https://ror.org/05t8xvx87","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210156332"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Chinese Research Academy of Environmental Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Research Academy of Environmental Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110964578","display_name":"Yuran Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuran Cui","raw_affiliation_strings":["Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019461895","display_name":"Shijiao Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijiao Qiao","raw_affiliation_strings":["Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-8638-4901","affiliations":[{"raw_affiliation_string":"Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063493372","display_name":"Kun Jia","orcid":"https://orcid.org/0000-0001-8586-4243"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Jia","raw_affiliation_strings":["Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8586-4243","affiliations":[{"raw_affiliation_string":"Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07194595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5651156902313232},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5637551546096802},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5374366044998169},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5270314812660217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4850706160068512},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46443256735801697},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4368841052055359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38589999079704285},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1649247705936432},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13200271129608154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5651156902313232},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5637551546096802},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5374366044998169},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5270314812660217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4850706160068512},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46443256735801697},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4368841052055359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38589999079704285},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1649247705936432},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13200271129608154},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3560391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3560391","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1921174079","display_name":null,"funder_award_id":"82003901","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5988025463","display_name":null,"funder_award_id":"CI2021A03902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6340668010","display_name":null,"funder_award_id":"42192581","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6718446414","display_name":null,"funder_award_id":"CICI2021B013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8665148117","display_name":null,"funder_award_id":"32401581","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1894641570","https://openalex.org/W1952261593","https://openalex.org/W1964217023","https://openalex.org/W1985555755","https://openalex.org/W2025745000","https://openalex.org/W2056435747","https://openalex.org/W2093378913","https://openalex.org/W2113388748","https://openalex.org/W2125325727","https://openalex.org/W2159961845","https://openalex.org/W2728388975","https://openalex.org/W2898446904","https://openalex.org/W2900436152","https://openalex.org/W2907047183","https://openalex.org/W2943595298","https://openalex.org/W2969945043","https://openalex.org/W2972321769","https://openalex.org/W2977142280","https://openalex.org/W2991488782","https://openalex.org/W2993134750","https://openalex.org/W3003266520","https://openalex.org/W3012400249","https://openalex.org/W3015626493","https://openalex.org/W3022592629","https://openalex.org/W3023454035","https://openalex.org/W3024527458","https://openalex.org/W3027311362","https://openalex.org/W3042824180","https://openalex.org/W3087709114","https://openalex.org/W3088885014","https://openalex.org/W3089208575","https://openalex.org/W3107030229","https://openalex.org/W3128836930","https://openalex.org/W3139236016","https://openalex.org/W3163755067","https://openalex.org/W3174199809","https://openalex.org/W3177435843","https://openalex.org/W3183470088","https://openalex.org/W3191161603","https://openalex.org/W4200208778","https://openalex.org/W4221087922","https://openalex.org/W4312234829","https://openalex.org/W6636950212"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W2121524756","https://openalex.org/W4390822878","https://openalex.org/W4246257243","https://openalex.org/W782553550","https://openalex.org/W96888382","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"<italic":[0,39,103,165,193,208],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1,40,104,166,194,209],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Dioscorea":[2,41,105,167,195,210],"Polystachya</i>":[3,42,106,168,196,211],"Turczaninow":[4,43,107,169,212],"is":[5,17,24],"one":[6],"of":[7,19,102,215,245],"the":[8,79,121,136,143,152,159,163,182,192,200,203,207,225,240,243],"most":[9,80],"famous":[10],"traditional":[11],"Chinese":[12],"Materia":[13],"Medica.":[14],"However,":[15],"there":[16],"lack":[18],"large-scale":[20],"classification":[21,44,58,170,204],"method":[22,237],"which":[23,217],"crucial":[25,188],"for":[26,251],"its":[27],"growth":[28],"status":[29],"monitoring":[30],"and":[31,67,99,151,233,248],"yield":[32],"estimation.":[33],"This":[34,230],"study":[35],"proposed":[36],"a":[37,131,187],"reliable":[38],"model":[45,171,205],"based":[46,85],"on":[47,86],"spectral-temporal-spatial":[48],"feature":[49,73,138,161,235],"optimization":[50,74,139,236],"using":[51,62,142,199,224],"time-series":[52,88,133],"Sentinel-2":[53,87,156,178],"data.":[54,157,229],"Firstly,":[55],"16":[56],"mono-temporal":[57,110],"models":[59],"were":[60,115],"developed":[61],"five":[63],"vegetation":[64,91],"indices":[65],"(VIs)":[66],"random":[68],"forest":[69],"algorithm.":[70],"Then,":[71],"temporal":[72,232],"was":[75,140,172],"conducted":[76,141],"by":[77,117,219],"identifying":[78],"effective":[81],"time":[82,127,154,226],"phase":[83],"combinations":[84],"normalized":[89],"difference":[90],"index":[92],"(NDVI)":[93],"data,":[94],"gaussian":[95],"mixture":[96],"modeling":[97],"algorithm":[98,150],"F1":[100,213],"score":[101,214],"in":[108,190],"each":[109,126],"model.":[111],"Next,":[112],"spectral":[113],"features":[114],"optimized":[116,201],"replacing":[118],"NDVI":[119,228],"with":[120],"optimal":[122],"VI":[123],"corresponding":[124],"to":[125,222,242],"phase,":[128],"thus":[129],"constructing":[130],"multi-VIs-based":[132,153],"dataset.":[134],"Finally,":[135],"spatial":[137,234],"three-dimensional":[144],"convolutional":[145],"neural":[146],"network":[147],"(3-D":[148],"CNN)":[149],"series":[155,227],"Following":[158],"comprehensive":[160],"optimization,":[162],"final":[164],"determined.":[173],"The":[174],"results":[175],"found":[176],"that":[177],"data":[179],"acquired":[180],"during":[181],"rhizome":[183],"enlargement":[184],"stage":[185],"played":[186],"role":[189],"classifying":[191],"Turczaninow.":[197],"By":[198],"features,":[202],"achieved":[206],"95.00%,":[216],"improved":[218],"11.49%":[220],"compared":[221],"only":[223],"spectral,":[231],"also":[238],"has":[239],"potential":[241],"development":[244],"large-scale,":[246],"dynamic,":[247],"accurate":[249],"mapping":[250],"other":[252],"crops.":[253]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}